rápido, búsqueda-augmented modelo fundacional desarrollado para instant web citas, up-un-el-minute facts, y concise factual resúmenes.
Technical Specifications
- Provider
- Perplexity
- Category
- lightweight
- Release Date
- 2024-01
- Batch API Discount
- Standard rate
- Consumer Subscription
- $20 / month
- Reasoning Effort Control
- Fixed
- Structured Outputs
- Yes
- Output Modalities
- text
- Official Documentation
- Visit Official Docs ↗
Data Privacy, Licensing & Deployment Governance
Official Provider Release Intelligence, API Quotas & Agentic Specs
- Official API Model ID (SDK String)
- sonar
- Supported SDK & API Protocol
- Perplexity REST API (OpenAI-Compatible)
- Lifecycle & Deprecation Status
- Legacy Stable (Upgrade path available in Perplexity lineup)
- Production Rate Limits (RPM & TPM)
- 5,000 – 15,000 RPM (Production Tier) · 800,000 – 2,000,000 TPM
- Long-Context Pricing Tier (>128K / >200K)
- Flat rate ($1/1M in) across full 128K window
- Prompt Cache Write & TTL Policy
- Cached input at $0.1/1M tokens
- Computer Use & Browser GUI Agent
- API / CLI Tool-Use & DOM Agent ready (no raw pixel desktop click loop)
- MCP & Parallel Tool Calling
- Native MCP Client/Server ready · Parallel function calling · 100% Strict JSON Schema
- Web Search Grounding & Code Sandbox
- Supported via external Tavily/Exa Search & E2B/Docker Sandbox tools
- Fine-Tuning & Distillation Support
- API Prompt Engineering & RAG Distillation
- Multimodal Tokenization Billing
- Text BPE (~4 chars/token)
- Weights Precision & Quantization
- Cloud-Hosted Proprietary (FP8 / BF16 Tensor Core Cluster)
- Minimum GPU VRAM Requirement
- Zero Local VRAM Required (100% Serverless Cloud API)
- Supported Inference Engines
- Managed Perplexity Cloud API
- System Card & Safety Framework
- Perplexity Production Safety & Alignment Verified
- Enterprise Compliance (SOC2 / HIPAA / ZDR)
- SOC2 Type II · GDPR · Zero Data Retention (ZDR) & HIPAA BAA Available on Enterprise Tier
Sonar Cost, Context, Hardware & API Integration
For single-user chat, a $20/mo subscription caps your bill below this API volume.
Break-even point: ~208 requests/day equals $20/month.
Same Monthly Workload Cost Across Popular Reference Models
Live Prompt Paste Tokenizer & Cost Counter
Paste real system instructions, JSON schemas, or code to measure BPE token counts across tokenizers.
Hybrid Prompt Routing Cascade Simulator
Route routine queries to a fast lightweight model ($0.15/1M) and escalate only complex reasoning turns to Sonar:
Benchmark Scores & 6-Axis Capability Radar
- MMLU-Pro
- 71%
- HumanEval
- 74%
- Chatbot Arena Elo
- 1245pts
Strengths
- Zero-day en tiempo real factual precisión via automatizado en vivo web index scraping
- Exact URL source citations embedded directly en generated prose
- Clean factual fundamentación minimizing hallucinations en breaking news
Limitations & Trade-offs
- carece de advanced standalone code arquitectura o theoretical STEM proofs
- ventana de contexto limitado un 128K tokens con un 4K max salida cap
Editorial Assessment
el gold estándar para rápido, source-cited conversacional web búsqueda.
Best for: Current news síntesis, en vivo market investigación, y factual búsqueda motor replacement
Compare Sonar
Frequently Asked Questions about Sonar
How much does the Sonar API cost per 1M tokens?+
Sonar by Perplexity is priced at $1 per 1M input tokens and $1 per 1M output tokens. With prompt caching enabled, cached input tokens cost $0.1 per 1M tokens, and asynchronous Batch API requests receive a 0% discount.
Should I use a $20/month subscription or the Sonar pay-as-you-go API?+
A flat $20/month consumer subscription is predictable for daily interactive chat and manual coding. However, if you are building software, running automated workflows, or sending low-to-moderate volume with prompt caching enabled, the pay-as-you-go API is typically far more cost-effective and offers higher rate limits without manual UI caps.
How many words and pages fit in Sonar's context window?+
Sonar features a 128K tokens context window, which equals approximately 96,000 English words or ~256 standard single-spaced pages in a single prompt. Its maximum output generation per turn is 4,096 tokens.
Can I run Sonar locally on my own GPU (Open Weights)?+
No, Sonar is a proprietary closed-weights model hosted by Perplexity. It cannot be downloaded for local GPU execution and must be accessed via Perplexity's official API or cloud platform.
Does Perplexity train on data sent to the Sonar API, and is commercial use allowed?+
API payloads are excluded from model training by default. License tier: Proprietary Commercial API (Perplexity Terms). Full commercial ownership of generated outputs. Supported deployment channels include: Perplexity Cloud API & Enterprise Endpoints.
How does Sonar perform on coding and reasoning benchmarks?+
Sonar achieves a composite Intelligence Index of 73/100, scoring N/A% on SWE-bench Verified, N/A% on GPQA Diamond, 71% on MMLU-Pro, and 1245 pts on Chatbot Arena Elo.
What is Sonar best used for?+
Sonar is best suited for: Current news síntesis, en vivo market investigación, y factual búsqueda motor replacement. Assessment: el gold estándar para rápido, source-cited conversacional web búsqueda.
Perplexity Family Lineage, Routing Tiers & Upgrade Path
Step down to a lighter sibling for high-volume routing or step up to Perplexity's flagship reasoning tier:
AI Glossary & Architecture Concepts
View full glossary →Key machine learning concepts and benchmarks relevant to Sonar:
La unidad básica de texto que procesa un modelo de lenguaje, que normalmente equivale a 3 o 4 caracteres o aproximadamente 0,75 palabras. Por ejemplo, una frase típica se divide en varios tokens.
Un conjunto estandarizado de pruebas para evaluar y comparar objetivamente las capacidades de distintos modelos de IA en tareas como programación (SWE-bench) o matemáticas avanzadas (AIME).
La cantidad máxima de tokens que un modelo puede considerar a la vez, incluyendo tanto la entrada que lee como la salida que genera. Una ventana de 1.000.000 de tokens puede procesar unas 750.000 palabras en una sola petición.
La capacidad de un modelo de detectar la necesidad de una función externa y emitir argumentos JSON estructurados para ejecutar API, búsquedas web o consultas a bases de datos.
Un protocolo abierto desarrollado por Anthropic que permite a los agentes de IA conectarse de forma estandarizada a sistemas de archivos locales, entornos de desarrollo y servicios externos.
Una optimización donde los proveedores almacenan estados de atención previos para prefijos de prompts frecuentes, reduciendo el coste de entrada hasta en un 90% y acelerando la respuesta.
Las puntuaciones de benchmarks, precios por token y límites de tasa evolucionan rápidamente. Verifique siempre las especificaciones actuales en la documentación oficial del proveedor.